Strategic Flight Cancellation Under Ground Delay Program Uncertainty

2021 ◽  
Vol 29 (1) ◽  
pp. 5-15
Author(s):  
Christine Taylor ◽  
Shin-Lai Tien ◽  
Erik Vargo ◽  
Craig Wanke
Keyword(s):  
Ground Delay Program ◽  
Ground Delay ◽  
Flight Cancellation

Reallocating arrival slots during a ground delay program

2008 ◽  
Vol 42 (2) ◽  
pp. 113-134 ◽  
Author(s):  
Jonathan F. Bard ◽  
Dinesh Natarajan Mohan
Keyword(s):  
Ground Delay Program ◽  
Ground Delay

Matchings in connection with ground delay program planning

Networks ◽  
2008 ◽  
Vol 53 (3) ◽  
pp. 293-306 ◽  
Author(s):  
Michael Ball ◽  
Geir Dahl ◽  
Thomas Vossen
Keyword(s):  
Program Planning ◽  
Ground Delay Program ◽  
Ground Delay

scholarly journals Optimizing Key Parameters of Ground Delay Program with Uncertain Airport Capacity

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Jixin Liu ◽  
Kaijian Li ◽  
Minjia Yin ◽  
Xuehua Zhu ◽  
Ke Han
Keyword(s):  
Traffic Control ◽  
Optimization Problem ◽  
Numerical Study ◽  
Real World Data ◽  
Total Delay ◽  
Airport Capacity ◽  
Ground Delay Program ◽  
Ground Delay ◽  
Distance Model ◽  
The Subject

The Ground Delay Program (GDP) relies heavily on the capacity of the subject airport, which, due to its uncertainty, adds to the difficulty and suboptimality of GDP operation. This paper proposes a framework for the joint optimization of GDP key parameters including file time, end time, and distance. These parameters are articulated and incorporated in a GDP model, based on which an optimization problem is proposed and solved under uncertain airport capacity. Unlike existing literature, this paper explicitly calculates the optimal GDP file time, which could significantly reduce the delay times as shown in our numerical study. We also propose a joint GDP end-time-and-distance model solved with genetic algorithm. The optimization problem takes into account the GDP operational efficiency, airline and flight equity, and Air Traffic Control (ATC) risks. A simulation study with real-world data is undertaken to demonstrate the advantage of the proposed framework. It is shown that, in comparison with the current GDP in operation, the proposed solution reduces the total delay time, unnecessary ground delay, and unnecessary ground delay flights by 14.7%, 50.8%, and 48.3%, respectively. The proposed GDP strategy has the potential to effectively reduce the overall delay while maintaining the ATC safety risk within an acceptable level.

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